| Added by | JPPOUGET |
|---|---|
| Group name | EquipeJPP |
| Item Type | Journal Article |
| Title | ESTRO-ACROP recommendations on the clinical implementation of hybrid MR-linac systems in radiation oncology |
| Creator | Corradini et al. |
| Author | Stefanie Corradini |
| Author | Filippo Alongi |
| Author | Nicolaus Andratschke |
| Author | David Azria |
| Author | Omar Bohoudi |
| Author | Luca Boldrini |
| Author | Anna Bruynzeel |
| Author | Juliane Hörner-Rieber |
| Author | Ina Jürgenliemk-Schulz |
| Author | Frank Lagerwaard |
| Author | Helen McNair |
| Author | Bas Raaymakers |
| Author | Tine Schytte |
| Author | Alison Tree |
| Author | Vincenzo Valentini |
| Author | Lotte Wilke |
| Author | Daniel Zips |
| Author | Claus Belka |
| Abstract | Online magnetic resonance-guided radiotherapy (oMRgRT) represents one of the most innovative applications of current image-guided radiation therapy (IGRT). The revolutionary concept of oMRgRT systems is the ability to acquire MR images for adaptive treatment planning and also online imaging during treatment delivery. The daily adaptive planning strategies allow to improve targeting accuracy while avoiding critical structures. This ESTRO-ACROP recommendation aims to provide an overview of available systems and guidance for best practice in the implementation phase of hybrid MR-linac systems. Unlike the implementation of other radiotherapy techniques, oMRgRT adds the MR environment to the daily practice of radiotherapy, which might be a new experience for many centers. New issues and challenges that need to be thoroughly explored before starting clinical treatments will be highlighted. |
| Publication | Radiotherapy and Oncology: Journal of the European Society for Therapeutic Radiology and Oncology |
| Volume | 159 |
| Pages | 146-154 |
| Date | 2021-06 |
| Journal Abbr | Radiother Oncol |
| Language | eng |
| DOI | 10.1016/j.radonc.2021.03.025 |
| ISSN | 1879-0887 |
| Library Catalog | PubMed |
| Extra | PMID: 33775715 |
| Tags | clinic, Humans, Implementation, Magnetic Resonance Imaging, MR-guided radiotherapy, MR-Linac, Online adaptive, Particle Accelerators, Radiation Oncology, Radiotherapy, Radiotherapy Planning, Computer-Assisted, Radiotherapy, Image-Guided |
| Date Added | 2023/11/23 - 12:48:22 |
| Date Modified | 2024/12/15 - 11:27:12 |
| Notes and Attachments | PubMed entry (Attachment) Version soumise (Attachment) |
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